{"id":"W3210605914","doi":"","title":"Blackfoot Nominalization Patterns","year":2012,"lang":"en","type":"article","venue":"Algonquian Papers - Archive","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary; University of Victoria","funders":"","keywords":"Nominalization; Computer science; Natural language processing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002578191,0.00007397353,0.00008647741,0.00003475186,0.0002687011,0.00001894607,0.0001342934,0.00004256436,0.001232144],"category_scores_gemma":[0.0003582269,0.00007381771,0.00003373289,0.00007079056,0.0001116751,0.00006148935,0.00003120266,0.00007016664,0.0001396685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006980676,"about_ca_system_score_gemma":0.0001911278,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06695099,"about_ca_topic_score_gemma":0.1011307,"domain_scores_codex":[0.9990246,0.0001862911,0.0001269459,0.0001223749,0.0001830184,0.0003567941],"domain_scores_gemma":[0.9994464,0.0001576893,0.00006482127,0.0001117336,0.00002991986,0.0001894489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000028749,0.0001395999,0.1284558,0.00001441671,0.00006715389,0.00001366862,0.1447172,0.00001132338,0.0006382029,0.6922693,0.01570554,0.01793892],"study_design_scores_gemma":[0.0002277926,0.000017419,0.06878009,0.000007435598,0.00002400694,0.000002337721,0.006559283,0.0000266625,0.00007191255,0.0008564299,0.9232599,0.0001667567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08817346,0.00004759764,0.006623496,0.003130108,0.002870387,0.0003333038,0.00005769107,0.0001206642,0.8986433],"genre_scores_gemma":[0.9944752,0.00004021377,0.0005501281,0.00171859,0.00104482,0.000009524504,0.00005168171,0.000009422935,0.002100395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9075543,"threshold_uncertainty_score":0.9996809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153472455624967,"score_gpt":0.3018363981013831,"score_spread":0.2803016735451334,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}